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Leading companies use technology to identify consumer profiles based on behavioral patterns and buying habits.
A retail brand wanted to keep up with the competition and increase efficiency by refining its awareness of the consumer profile. The goal was to create a system based on customer segmentation that would enable the company to profile its customers and personalize content for the different segments. Once this information was compiled, they wanted a software product to easily navigate for business strategy.
First, we focused on refining algorithms for customer segmentation based on their data. Then we profiled the customers by analyzing transactional data to identify patterns and trends by segment. The consumer profile was based on demographic information and past behaviour. We evaluated the customer profile by product type, value, frequency, and patterns of spend. We built a custom software product with a dashboard and visualizations with pipelined data updating the models in real-time.